The ProteomeXchange consortium in 2026: making proteomics data FAIR

作者：Eric W. Deutsch, Nuno Bandeira, Yasset Pérez‐Riverol, Vagisha Sharma, Jeremy Carver, Luis Mendoza, Deepti J Kundu, Chakradhar Bandla, Selvakumar Kamatchinathan, Suresh Hewapathirana, Zhi Sun, Shin Kawano, Shujiro Okuda, Brian Connolly, Brendan MacLean, Michael J. MacCoss, Tao Chen, Yunping Zhu, Yasushi Ishihama, Juan Antonio Vizcaíno · 发表于：Nucleic Acids Research · 年份：2025 · DOI：10.1093/nar/gkaf1146 · 被引用次数：37 · 研究领域：Advanced Proteomics Techniques and Applications、Mass Spectrometry Techniques and Applications、Single-cell and spatial transcriptomics

The ProteomeXchange consortium of proteomics resources (http://www.proteomexchange.org) was established to standardize open data practices in the mass spectrometry (MS)-based proteomics field. Here, we describe the main developments in ProteomeXchange in the last 3 years. The six member databases of ProteomeXchange, spread out in three different continents, are the PRIDE database, PeptideAtlas, MassIVE, jPOST, iProX, and Panorama Public. We provide updated data submission statistics, showcasing that the number of datasets submitted to ProteomeXchange resources has continued to accelerate every year. Through June 2025, 64 330 datasets had been submitted to ProteomeXchange resources, and from those, 30 097 (47%) just in the last 3 years. We also report on the improvements in the support for the standards developed by the Proteomics Standards Initiative, e.g. for Universal Spectrum Identifiers and for SDRF (Sample and Data Relationship Format)-Proteomics. Additionally, we highlight the increase in data reuse activities of public datasets, including targeted reanalyses of datasets of different proteomics data types, and the development of novel machine learning approaches. Finally, we summarize our plans for the near future, covering the development of resources for controlled-access human proteomics data, and for the support of non-MS proteomics approaches.